Elakkiya R. – författare

COGNITIVE ANALYTICS AND REINFORCEMENT LEARNING The combination of cognitive analytics and reinforcement learning is a transformational force in the field of modern technological breakthroughs, reshaping the decision-making, problem-solving, and innovation landscape; this book offers an examination of the profound overlap between these two fields and illuminates its significant consequences for business, academia, and research. Cognitive analytics and reinforcement learning are pivotal branches of artificial intelligence. They have garnered increased attention in the research field and industry domain on how humans perceive, interpret, and respond to information. Cognitive science allows us to understand data, mimic human cognitive processes, and make informed decisions to identify patterns and adapt to dynamic situations. The process enhances the capabilities of various applications. Readers will uncover the latest advancements in AI and machine learning, gaining valuable insights into how these technologies are revolutionizing various industries, including transforming healthcare by enabling smarter diagnosis and treatment decisions, enhancing the efficiency of smart cities through dynamic decision control, optimizing debt collection strategies, predicting optimal moves in complex scenarios like chess, and much more. With a focus on bridging the gap between theory and practice, this book serves as an invaluable resource for researchers and industry professionals seeking to leverage cognitive analytics and reinforcement learning to drive innovation and solve complex problems. The book’s real strength lies in bridging the gap between theoretical knowledge and practical implementation. It offers a rich tapestry of use cases and examples. Whether you are a student looking to gain a deeper understanding of these cutting-edge technologies, an AI practitioner seeking innovative solutions for your projects, or an industry leader interested in the strategic applications of AI, this book offers a treasure trove of insights and knowledge to help you navigate the complex and exciting world of cognitive analytics and reinforcement learning. Audience The book caters to a diverse audience that spans academic researchers, AI practitioners, data scientists, industry leaders, tech enthusiasts, and educators who associate with artificial intelligence, data analytics, and cognitive sciences.

The book also addresses several topics pertaining to networks, including security, network data processing, networks that transcend boundaries, device heterogeneity, and advancements in networks connected to the Internet of Things, software-defined networks, cloud computing, and intelligent networks.

Participants from all over the world consider the controversies and challenges posed by globalization, focusing on topics including digital urbanism, smart cities, digital sustainability, social media movements, digital divides, cyber-psychology.

This proceedings book collects contributions from the Internet and Modern Society conference in 2023. The gathering addresses topical issues of digital geography and geography of information society, providing a platform for discussion and collaboration between experts in related fields. Participants from all over the world consider the controversies and challenges posed by globalization, focusing on topics including digital urbanism, smart cities, digital sustainability, social media movements, digital divides, cyber-psychology. This volume centers on five core themes: the digital city; computational linguistics and machine learning; interactive systems and information society technologies; cyberpsychology, digital health and active aging; and e-governance and political communication.

This book constitutes the proceedings of the 27th International Conference on Internet and Modern Society, IMS 2024, held in St. Petersburg, Russia, in June 24–26, 2024.The 29 full papers presented in this book were carefully reviewed and selected from 75 submissions. They are categorized into the following topical sections:• Computational Linguistics (CompLing)• Interactive Systems & Information Society Technologies (InterSys)

This proceedings book collects contributions from the Internet and Modern Society conference in 2024. The gathering addresses topical issues of digital geography and the geography of information society, providing a platform for discussion and collaboration between experts in related fields. Participants from all over the world consider the controversies and challenges posed by digital technologies in society. This volume centers on three core themes: interactive systems and information-society technologies, e-governance and political communication, and art and innovation in museums.

This two-set volume CCIS  2671 and 2672 book constitutes the proceedings of the 28th International Conference on Internet and Modern Society, IMS 2025, held in St. Petersburg, Russia, during June 23–25, 2025.The 44 full papers and 12 short papers included in these conference proceedings were carefully reviewed and selected from 135 submissions. They are categorized into the following topical sections:Part I: Computational Linguistics & Machine Learning (CompLing); Cyberpsychology & Post-AI Education (PsyAI); Digital Transformation in Governance and Society (DTGS).Part II: Art and Innovation in Museums (AIMs); Interactive Systems & Information Society Technologies (InterSys).